在软机器人软机器人无电解质聚合物执行器中的燃料驱动的还氧化反应
Sevketcan Sarikaya1, Frank Gardea2, Jeffrey T Auletta3
1Materials Science and Engineering Department, Texas A&M University, College Station, Texas 77843, United States.
ACS applied materials & interfaces
|June 22, 2023
概括
研究人员使用氧化还原反应开发了一种新型固态燃料驱动的执行器. 这种人工肌肉提供可逆执行,并优于软机器人应用的现有聚合物氧化还原执行器.
科学领域:
- 材料科学 材料科学 材料科学
- 聚合物化学 聚合物化学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 改变形状的聚合物是人工肌肉和软机器人的关键.
- 现有的聚合物执行器由于极端的执行条件而面临挑战.
- 需要新的刺激来扩大聚合物人工肌肉的应用.
研究的目的:
- 为推出一种全新的全固体燃料驱动执行器.
- 为了证明其生物模拟人工肌肉和软机器人的潜力.
- 为了克服当前聚合物执行器的局限性.
主要方法:
- 开发了一种燃料驱动的执行器,利用 (H2) 和氧 (O2) 氧化还原反应.
- 具有特征的执行大小,工作能力和可逆性.
- 在柔软的人形手中嵌入执行器以展示功能.
主要成果:
- 实现了高达3.8%的可逆执行大小和120 J/kg的工作能力.
- 在没有电解质,电极或外部电压的情况下,经过证明的超热启动.
- 执行器在负载下保持在没有能源消耗的位置 (捕获状态).
- 在无应力收缩应力和阻断应力中表现优于报告中的聚合物氧化还原执行器.
结论:
- 燃料驱动的执行器为现有的人工肌肉提供了一个有希望的替代方案.
- 消除了对电解质,电极和外部电压的需求,简化了应用.
- 为软机器人和人工肌肉技术中的氧化还原聚合物开辟了新的可能性.
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